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89-825 32.5 mm Dia. Mounted Dark Red Machine Vision Imaging Filter; t=1.75 mm 660nm

89-825 32.5 mm Dia. Mounted Dark Red Machine Vision Imaging Filter; t=1.75 mm 660nm

Type
Filter
Subtype
Bandpass Filter
Brand
Edmund Optics
Product webpage
Edmund Optics products in the 3DOptix catalog

Properties

Shape
Circular
Diameter
32.5 mm
Cut Off Frequency
693 nm
Cut On Frequency
627 nm

Material

Name
UVFS
Dispersion Equation
Sellmeier
n (λ)
1.456268423320019
λ
660 nm
B1
0.6961663
C1
0.004679148 μm2
B2
0.4079426
C2
0.013512063 μm2
B3
0.8974794
C3
97.93400254 μm2

89-825 32.5 mm Dia. Mounted Dark Red Machine Vision Imaging Filter; t=1.75 mm 660nm

The 89-825 is a Dark Red Bandpass Filter, specifically designed for machine vision imaging applications. Sourced from the renowned optical vendor, Edmund Optics, this filter boasts a catalog number 89-825 and is available on their official website. The filter's current status indicates it is in stock, ensuring quick delivery upon order.

This filter is of the Bandpass type, designed with a circular base shape and a diameter of 32.5 mm. It is made from UVFS MAL-1965 material, a common choice for its durability and optical clarity. The filter's thickness is 1.75 mm, providing a sturdy yet lightweight component for your optical system.

The 89-825 filter is designed to transmit light within the wavelength of 660 nm, making it ideal for applications that require precise light filtration in the dark red spectrum. The filter's cut-on wavelength is 627 nm, and the cut-off wavelength is 693 nm, ensuring a narrow and precise bandpass.

The filter's coating is another notable feature. Both the front and back of the filter are coated with EDM 89-824, a coating type known for its superior light transmission and durability. This coating ensures the filter maintains its performance over time, even with regular use.

The filter's shape is described as Thin Lens, suggesting it is designed to minimize optical aberrations and distortions, providing clear and accurate imaging. This feature makes it an excellent choice for machine vision applications that require high-precision imaging.

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